• DocumentCode
    2966386
  • Title

    A New Semi-supervised Clustering Mehtod Based on Convex Hull

  • Author

    Guiliang, Wang ; Xiangqian, Ding ; Bo, Liu ; Peiyong, Xia

  • Author_Institution
    Ocean Univ. of China, Qingdao, China
  • Volume
    2
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    1036
  • Lastpage
    1038
  • Abstract
    This paper introduce the theory of convex hulls into the semi-supervised clustering, and through combining them, we come up with a new thought to the semi-supervise clustering. Then we verify the feasibility of the convex hull in the semi-supervised clustering through experiment which be carried in the two dimensional space.
  • Keywords
    pattern clustering; convex hull theory; semi-supervised clustering method; Accuracy; Classification algorithms; Clustering algorithms; Image edge detection; Iris; Monitoring; Software algorithms; clustering; convex hull; semi-supervised;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.544
  • Filename
    5751069
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2966386